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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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looking to establish a pool of QUT students who can support information and technology services across the University. You will be trained in QUT digital services and will draw on your own experience as a
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looking to establish a pool of QUT students who can support information and technology services across the University. You will be trained in QUT digital services and will draw on your own experience as a
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will collect and analyse clinical, demographic, diet, and lifestyle data to identify modifiable predictors and stratify patients by malnutrition risk, supporting the development of targeted, personalised
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qualifications or progress towards postgraduate qualifications in Computer Science, Physics, Engineering (Aerospace, Computer Systems, Electrical, Mechatronics, Mechanical) or related discipline and extensive
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, and mortality. This will be achieved by linking large existing datasets that contain data on people with diabetes foot disease in the community (such as Diabetes Registries, Diabetes Foot Registries
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. This role will directly interface with other key technical stakeholders across Digital Technology, including data centre operations, platform engineering, integration, and network teams. In addition
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. You can contact the Oodgeroo Unit for more information via email information.oodgeroo@qut.edu.au How to apply To apply for this scholarship, you must provide: a completed 2025 QIC Indigenous Tertiary
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for performing descriptive and predictive analytics including both qualitative and quantitative data. This role will work with the University Survey Coordinator to drive improvements to the collection
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research as outlined in the protocols and will support the research team in other research related tasks such as ethics, data collection, data management and specimen collection and processing. About us QUT